Date of Award

January 2023

Document Type

Thesis

Degree Name

Master of Public Health (MPH)

Department

School of Public Health

First Advisor

Laura Bothwell

Abstract

Artificial intelligence (AI) has been rapidly growing in the healthcare sector, with the potential to improve patient outcomes, increase efficiency, and reduce costs. However, as with any technological advancement, AI-driven healthcare presents ethical and legal challenges that must be addressed to ensure the responsible and beneficial use of the technology. To the best of our knowledge this is the first study to examine the ethical and legal considerations of using AI technology in healthcare, with a particular focus on infectious diseases. With the growing use of AI in healthcare, it is crucial to evaluate its potential benefits and challenges in infectious diseases. This thesis provides a comprehensive scoping review of the existing literature on AI-driven healthcare in infectious diseases and highlights the key ethical and legal considerations that arise from the use of AI in this area.

The thesis identifies and analyzes the relevant literature on AI-driven healthcare in infectious diseases, including articles on the use of AI in disease diagnosis, treatment, and prevention. The review also explores the potential benefits and challenges of AI in infectious diseases, such as accuracy, privacy, equity, and accountability. It argues that while AI has the potential to significantly improve healthcare outcomes in infectious diseases, it also raises several ethical and legal concerns that need to be addressed. These include issues related to accountability, privacy, security and safety, transparency, reliability, fairness, and inclusivity, among others.

In conclusion, this thesis contributes to the ongoing debate on the use of AI in healthcare by providing a comprehensive review of the literature on AI-driven healthcare in infectious diseases and identifying the ethical and legal considerations that need to be taken into account. The findings of this thesis can inform the development of guidelines and policies for policymakers, healthcare professionals, and researchers to ensure that AI is used ethically and responsibly in infectious disease healthcare.

Comments

This thesis is restricted to Yale network users only. It will be made publicly available on 05/10/2024

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